[Tutanota1]

Learning machine learning through maths and implementing some of the most common ML algorithms from scratch.

Writing technical blogs - I find it easy to write topics where there is no right or wrong, just a perspective. But would like to write some technical stuffs i learnt over the year.

[binarymax]

Hey! Not sure if you're looking for recommendations, but Andrew Ng's original coursera course for Machine Learning is what you're looking for. I took the course back in 2015 but it's timeless, and gives you the algo and maths foundations you're looking for.

[punkspider]

1. Your first one is also on my list.

2. I have written technical blogs and it is very rewarding when you see your article ranking at the top of Google, and people sharing it because it is genuinely useful.

I may have some advice here.

If you've never had a blog, you'll be surprised how easily you can rank in search engines and get visitors. Technical blogs that haven't been tainted by monetization aren't as many as you'd think. You probably see many of them here on HN, but in Google most websites fight to stay on top for major keywords to make money.

Furthermore, many experts don't write. You'll be amazed when you start seeing impressions in Google Search Console (their dashboard for search activity).

I highly recommend: - Setup the site quick, in an imperfect state - Post a few articles in an imperfect state - Install Google Search Console

Then follow the data in Search Console - you'll see which keywords and pages are getting traction. From there, keep posting what you think would be helpful for people like you.

[mettamage]

That's really encouraging, I might start a blog as well.